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Performance Evaluation of Artificial Neural Network Modelling to a Ploughing Unit in Various Soil Conditions Cover

Performance Evaluation of Artificial Neural Network Modelling to a Ploughing Unit in Various Soil Conditions

Acta Technologica Agriculturae
Volume 26 (2023): Issue 4 (December 2023)
By: Ghazwan A. Dahham,  Mahmood N. Al-Irhayim,  Khalid E. Al-Mistawi and  Montaser Kh. Khessro  
Open Access
|Nov 2023

Authors

Ghazwan A. Dahham

ghazwanagr@uomosul.edu.iq

University of Mosul, Collage of Agriculture and Forestry, Department of Agricultural Machines and Equipment, Iraq

Mahmood N. Al-Irhayim

Manatiq9@uomosul.edu.iq

University of Mosul, Collage of Agriculture and Forestry, Department of Agricultural Machines and Equipment, Iraq

Khalid E. Al-Mistawi

khalid.allaf@uomosul.edu.iq

University of Mosul, Collage of Agriculture and Forestry, Department of Agricultural Machines and Equipment, Iraq

Montaser Kh. Khessro

Montaser.hussain@uomosul.edu.iq

University of Mosul, Collage of Agriculture and Forestry, Department of Agricultural Machines and Equipment, Iraq
DOI: https://doi.org/10.2478/ata-2023-0026 | Journal eISSN: 1338-5267
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Language: English
Page range: 194 - 200
Published on: Nov 14, 2023
Published by: Slovak University of Agriculture in Nitra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
tractor disc,
field work index,
soil texture index,
draft force,
energy requirement
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2023 Ghazwan A. Dahham, Mahmood N. Al-Irhayim, Khalid E. Al-Mistawi, Montaser Kh. Khessro, published by Slovak University of Agriculture in Nitra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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